Notice of Pre-AIA or AIA Status
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
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Double Patenting
The nonstatutory double patenting rejection is based on a judicially created doctrine grounded in public policy (a policy reflected in the statute) so as to prevent the unjustified or improper timewise extension of the “right to exclude” granted by a patent and to prevent possible harassment by multiple assignees. A nonstatutory double patenting rejection is appropriate where the conflicting claims are not identical, but at least one examined application claim is not patentably distinct from the reference claim(s) because the examined application claim is either anticipated by, or would have been obvious over, the reference claim(s). See, e.g., In re Berg, 140 F.3d 1428, 46 USPQ2d 1226 (Fed. Cir. 1998); In re Goodman, 11 F.3d 1046, 29 USPQ2d 2010 (Fed. Cir. 1993); In re Longi, 759 F.2d 887, 225 USPQ 645 (Fed. Cir. 1985); In re Van Ornum, 686 F.2d 937, 214 USPQ 761 (CCPA 1982); In re Vogel, 422 F.2d 438, 164 USPQ 619 (CCPA 1970); In re Thorington, 418 F.2d 528, 163 USPQ 644 (CCPA 1969).
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Claims 1-18 are rejected on the ground of nonstatutory double patenting as being unpatentable over claims 1-18 of U.S. Patent No. 12204863 and claims 1-15 of U.S. Patent No. 11288583. Although the claims at issue are not identical, they are not patentably distinct from each other because both sets of claims are toward detecting a defective/incomplete entigen group within a knowledge database. The defective/incomplete entigen group includes entigens and one or more entigen relationships between at least some of the entigens. The defective/incomplete entigen group represents knowledge of a topic. The method further includes obtaining corrective/additive content for the topic based on the defective entigen group and generating a corrective/additive entigen group based on the corrective/additive content. The method further includes updating the defective/incomplete entigen group utilizing the corrective/additive entigen group to produce a curated/updated entigen group. The only difference between the three sets of claims is the wording of the concept and the use of different terms, such as “incomplete entigen”, “additive content”, and “non-curated status” in the current application versus “defective entigen”, “corrective content”, and curated status, in the current application and the US 12204863 Patent; and also mentioning in the current claim that the claimed steps are used for initiating retrieval augmented generation to retrieve additive content for a topic and generating a neural network representation of the additive content for the topic, which is based on the same steps claimed at the patents, and does not render the claims patentably distinct from each other.
Below is an illustration of claim 1 of the current application versus claim 1 of each of the patents.
US 12204863
Current Application
1. A method for execution by a computing device, the method comprises:
detecting an incomplete entigen group, wherein a knowledge database includes the incomplete entigen group, wherein the incomplete entigen group includes a plurality of entigens and one or more entigen relationships between at least some of the plurality of entigens, wherein the incomplete entigen group represents at least some knowledge of a topic;
issuing, via a user interface of the computing device, an additive content query based on the incomplete entigen group;
obtaining, via the user interface of the computing device, additive content for the topic based on the incomplete entigen group;
determining a set of identigens for each word of a plurality of words of the additive content to produce a plurality of sets of identigens, wherein each identigen of the set of identigens includes a meaning identifier, an instance identifier, and a time reference, wherein each meaning identifier associated with a particular set of identigens represents a different meaning of one or more different meanings of a corresponding word of the plurality of words of the additive content, wherein a first set of identigens of the plurality of sets of identigens is produced for a first word of the plurality of words of the additive content;
interpreting, in accordance with identigen pairing rules of the knowledge database, the plurality of sets of identigens to determine a most likely meaning interpretation of the additive content and produce an additive entigen group comprising one or more entigens, wherein the additive entigen group represents the most likely meaning interpretation of the additive content,
wherein each entigen of the additive entigen group corresponds to a selected identigen of the set of identigens having a selected meaning of the one or more different meanings of each word of the plurality of words,
wherein each entigen of the additive entigen group represents a single conceivable and perceivable thing in space and time that is independent of language and corresponds to a time reference of the selected identigen associated with the additive entigen group, wherein the selected identigen favorably pairs with at least one corresponding sequentially adjacent identigen of another set of identigens of the plurality of sets of identigens based on the identigen pairing rules;
determining whether the additive entigen group conflicts with the incomplete entigen group; and
when the additive entigen group conflicts with the incomplete entigen group:
updating the incomplete entigen group utilizing the additive entigen group to produce an updated entigen group with an un-curated status; and
outputting, via the user interface of the computing device, a representation of the updated entigen group with an indication of the un-curated status.
1.A neuro-symbolic retrieval augmented generation hybrid method for execution by a computing device, the method comprises:
initiating retrieval augmented generation to retrieve additive content for a topic by: detecting an incomplete entigen group that represents at least some knowledge of the topic within a knowledge database, wherein the incomplete entigen group includes a plurality of entigens and one or more entigen relationships between at least some of the plurality of entigen;
issuing an additive content query based on the incomplete entigen group, and obtaining the additive content for the topic based on the incomplete entigen group;
generating a neural network representation of the additive content for the topic by applying an identigen entigen processing approach that disambiguates a plurality of words of the additive content, wherein the generating the neural network representation of the additive content includes:
determining a set of identigens for each word of the plurality of words of the additive content to produce a plurality of sets of identigens as the neural network representation of the additive content, wherein each identigen of a particular set of identigens includes a meaning identifier, an instance identifier, and a time reference, wherein each meaning identifier associated with the particular set of identigens represents a different meaning of one or more different meanings of a corresponding word of the plurality of words of the additive content, wherein a first set of identigens of the plurality of sets of identigens is produced for a first word of the plurality of words of the additive content;
generating a symbolic architecture representation of the additive content for the topic by further applying the identigen entigen processing approach to the neural network representation of the additive content for the topic, wherein the symbolic architecture representation of the additive content for the topic represents a most likely meaning interpretation of the additive content for the topic, wherein the generating the symbolic architecture representation of the additive content for the topic includes: interpreting, in accordance with identigen pairing rules of the knowledge database, the plurality of sets of identigens to determine a most likely meaning interpretation of the additive content and produce an additive entigen group comprising one or more entigens as the symbolic architecture representation of the additive content, wherein the additive entigen group represents the most likely meaning interpretation of the additive content, wherein each entigen of the additive entigen group corresponds to a selected identigen of a corresponding set of identigens having a selected meaning of the one or more different meanings of each word of the plurality of words, wherein each entigen of the additive entigen group represents a single conceivable and perceivable thing in space and time that is independent of language and corresponds to a time reference of the selected identigen associated with the additive entigen group, wherein the selected identigen favorably pairs with at least one corresponding sequentially adjacent identigen of another set of identigens of the plurality of sets of identigens based on the identigen pairing rules;
determining whether the additive entigen group conflicts with the incomplete entigen group; and when the additive entigen group conflicts with the incomplete entigen group: updating the incomplete entigen group utilizing the additive entigen group to produce an updated entigen group with an tun-curated status; and outputting a representation of the updated entigen group with an indication of the un-curated status.
US 11288583
Current Application
1. A method for execution by a computing device, the method comprises:
detecting a defective entigen group, wherein a knowledge database includes the defective entigen group, wherein the defective entigen group includes a plurality of entigens and one or more entigen relationships between at least some of the plurality of entigens, wherein the defective entigen group represents knowledge of a topic;
issuing, via a user interface of the computing device, a corrective content query based on the defective entigen group;
obtaining, via the user interface of the computing device, corrective content for the topic based on the defective entigen group;
determining a set of identigens for each word of a plurality of words of the corrective content to produce a plurality of sets of identigens, wherein each identigen of the set of identigens includes a meaning identifier, an instance identifier, and a time reference, wherein each meaning identifier associated with a particular set of identigens represents a different meaning of one or more different meanings of a corresponding word of the plurality of words of the corrective content, wherein a first set of identigens of the plurality of sets of identigens is produced for a first word of the plurality of words of the corrective content;
interpreting, in accordance with identigen pairing rules of the knowledge database, the plurality of sets of identigens to determine a most likely meaning interpretation of the corrective content and produce a corrective entigen group comprising one or more entigens, wherein the corrective entigen group represents the most likely meaning interpretation of the corrective content, wherein each entigen of the corrective entigen group corresponds to a selected identigen of the set identigens having a selected meaning of the one or more different meanings of each word of the plurality of words,
wherein each entigen of the corrective entigen group represents a single conceivable and perceivable thing in space and time that is independent of language and corresponds to a time reference of the selected identigen associated with the corrective entigen group, wherein the selected identigen favorably pairs with at least one corresponding sequentially adjacent identigen of another set of identigens of the plurality of sets of identigens based on the identigen pairing rules;
updating the defective entigen group utilizing the corrective entigen group to produce a curated entigen group; and
outputting, via the user interface of the computing device, a representation of the curated entigen group.
1.A neuro-symbolic retrieval augmented generation hybrid method for execution by a computing device, the method comprises:
initiating retrieval augmented generation to retrieve additive content for a topic by: detecting an incomplete entigen group that represents at least some knowledge of the topic within a knowledge database, wherein the incomplete entigen group includes a plurality of entigens and one or more entigen relationships between at least some of the plurality of entigen;
issuing an additive content query based on the incomplete entigen group, and obtaining the additive content for the topic based on the incomplete entigen group;
generating a neural network representation of the additive content for the topic by applying an identigen entigen processing approach that disambiguates a plurality of words of the additive content, wherein the generating the neural network representation of the additive content includes:
determining a set of identigens for each word of the plurality of words of the additive content to produce a plurality of sets of identigens as the neural network representation of the additive content, wherein each identigen of a particular set of identigens includes a meaning identifier, an instance identifier, and a time reference, wherein each meaning identifier associated with the particular set of identigens represents a different meaning of one or more different meanings of a corresponding word of the plurality of words of the additive content, wherein a first set of identigens of the plurality of sets of identigens is produced for a first word of the plurality of words of the additive content;
generating a symbolic architecture representation of the additive content for the topic by further applying the identigen entigen processing approach to the neural network representation of the additive content for the topic, wherein the symbolic architecture representation of the additive content for the topic represents a most likely meaning interpretation of the additive content for the topic, wherein the generating the symbolic architecture representation of the additive content for the topic includes: interpreting, in accordance with identigen pairing rules of the knowledge database, the plurality of sets of identigens to determine a most likely meaning interpretation of the additive content and produce an additive entigen group comprising one or more entigens as the symbolic architecture representation of the additive content, wherein the additive entigen group represents the most likely meaning interpretation of the additive content, wherein each entigen of the additive entigen group corresponds to a selected identigen of a corresponding set of identigens having a selected meaning of the one or more different meanings of each word of the plurality of words, wherein each entigen of the additive entigen group represents a single conceivable and perceivable thing in space and time that is independent of language and corresponds to a time reference of the selected identigen associated with the additive entigen group, wherein the selected identigen favorably pairs with at least one corresponding sequentially adjacent identigen of another set of identigens of the plurality of sets of identigens based on the identigen pairing rules;
determining whether the additive entigen group conflicts with the incomplete entigen group; and when the additive entigen group conflicts with the incomplete entigen group: updating the incomplete entigen group utilizing the additive entigen group to produce an updated entigen group with an tun-curated status; and outputting a representation of the updated entigen group with an indication of the un-curated status.
With regard to art, the prior art does not teach initiating retrieval augmented generation to retrieve additive content for a topic by: detecting an incomplete entigen group that represents at least some knowledge of the topic within a knowledge database, wherein the incomplete entigen group includes a plurality of entigens and one or more entigen relationships between at least some of the plurality of entigen, issuing an additive content query based on the incomplete entigen group, and obtaining the additive content for the topic based on the incomplete entigen group; generating a neural network representation of the additive content for the topic by applying an identigen entigen processing approach that disambiguates a plurality of words of the additive content, wherein the generating the neural network representation of the additive content includes: determining a set of identigens for each word of the plurality of words of the additive content to produce a plurality of sets of identigens as the neural network representation of the additive content, wherein each identigen of a particular set of identigens includes a meaning identifier, an instance identifier, and a time reference, wherein each meaning identifier associated with the particular set of identigens represents a different meaning of one or more different meanings of a corresponding word of the plurality of words of the additive content, wherein a first set of identigens of the plurality of sets of identigens is produced for a first word of the plurality of words of the additive content; generating a symbolic architecture representation of the additive content for the topic by further applying the identigen entigen processing approach to the neural network representation of the additive content for the topic, wherein the symbolic architecture representation of the additive content for the topic represents a most likely meaning interpretation of the additive content for the topic, wherein the generating the symbolic architecture representation of the additive content for the topic includes: interpreting, in accordance with identigen pairing rules of the knowledge database, the plurality of sets of identigens to determine a most likely meaning interpretation of the additive content and produce an additive entigen group comprising one or more entigens as the symbolic architecture representation of the additive content, wherein the additive entigen group represents the most likely meaning interpretation of the additive content, wherein each entigen of the additive entigen group corresponds to a selected identigen of a corresponding set of identigens having a selected meaning of the one or more different meanings of each word of the plurality of words, wherein each entigen of the additive entigen group represents a single conceivable and perceivable thing in space and time that is independent of language and corresponds to a time reference of the selected identigen associated with the additive entigen group, wherein the selected identigen favorably pairs with at least one corresponding sequentially adjacent identigen of another set of identigens of the plurality of sets of identigens based on the identigen pairing rules; determining whether the additive entigen group conflicts with the incomplete entigen group; and when the additive entigen group conflicts with the incomplete entigen group: updating the incomplete entigen group utilizing the additive entigen group to produce an updated entigen group with an tun-curated status; and outputting a representation of the updated entigen group with an indication of the un-curated status, as claimed by independent claims 1, 7, and 13.
Conclusion
The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. See PTO-892.
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/ABDELALI SERROU/ Primary Examiner, Art Unit 2659
